• DocumentCode
    48368
  • Title

    Evaluation of the Soil Moisture Operational Estimates From SMOS in Europe: Results Over Diverse Ecosystems

  • Author

    Petropoulos, George P. ; Ireland, Gareth ; Srivastava, Prashant K.

  • Author_Institution
    Dept. of Geogr. & Earth Sci., Aberystwyth Univ., Aberystwyth, UK
  • Volume
    15
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    5243
  • Lastpage
    5251
  • Abstract
    This study presents the results of an extensive validation of the Soil Moisture and Ocean Salinity mission (SMOS) soil moisture operational product from selected European sites representative of a variety of climatic, environmental, biome, and seasonal conditions. SMOS soil moisture estimates were compared against corresponding in-situ measurements from the CarboEurope observational network. The agreement between the two datasets was evaluated on the basis of a series of statistical metrics. In addition, the effect of variability of site characteristics such as land cover, seasonality, and also that of the Radio Frequency Interference (RFI) effect on SMOS was explored. In overall, the SMOS soil moisture product estimates agreed reasonably well with near concurrent CarboEurope in-situ measurements acquired from the 0-5 cm soil moisture layer. Significant changes in the SMOS performance were observed with local adjustments, such as land cover and seasonal changes. Agreement was found to be higher over low vegetation cover and during the autumn season. The RFI contaminated pixels were filtered out from the pooled datasets, as well as from the seasonally discriminated datasets, which resulted in noticeably improved performances. This paper provides strong supportive evidence of the potential value of the SMOS soil moisture product for hydrometeorological and related studies.
  • Keywords
    ecology; land cover; moisture; remote sensing; soil; statistical analysis; vegetation; CarboEurope observational network; SMOS performance; SMOS soil moisture product; autumn season; biome condition; climatic condition; diverse ecosystem; environmental condition; hydrometeorological study; land cover; radiofrequency interference effect; seasonal condition; soil moisture and ocean salinity mission; soil moisture layer; soil moisture operational estimation evaluation; statistical metrics; vegetation cover; Accuracy; Europe; Moisture measurement; Soil measurements; Soil moisture; Vegetation mapping; CarboEurope; MIRAS; Remote Sensing; SMOS; Soil Moisture; remote sensing; soil moisture;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2015.2427657
  • Filename
    7097647